Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Bilateral multi-attribute big data resource value evaluation and exchange method

A value evaluation and transaction method technology, which is applied in product evaluation, data processing applications, buying and selling/lease transactions, etc., and can solve problems such as complex transaction processes.

Inactive Publication Date: 2016-08-03
STATE GRID TIANJIN ELECTRIC POWER +2
View PDF9 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The cloud market and cloud computing are an open and dynamic environment, which makes big data transactions different from general entity transactions and e-commerce, and the transaction process is very complicated

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Bilateral multi-attribute big data resource value evaluation and exchange method
  • Bilateral multi-attribute big data resource value evaluation and exchange method
  • Bilateral multi-attribute big data resource value evaluation and exchange method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0035] Embodiments of the present invention are described in further detail below in conjunction with the accompanying drawings:

[0036] A bilateral multi-attribute big data resource value evaluation and transaction method, such as figure 1 shown, including the following steps:

[0037] Step 1. The seller divides its own data source into multiple data attributes including independent intrinsic attributes and the degree of correlation between each attribute according to its service quality, and pre-sets the weight of each attribute and the degree of correlation with each other;

[0038] In big data transactions, the seller's description of the service quality of his own data source and the buyer's description of the required data service are the basis for the buyer and the seller to determine the transaction intention and negotiate the price. Service quality, the data attribute includes relatively independent intrinsic attributes and the degree of correlation between each att...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a bilateral multi-attribute big data resource value evaluation and exchange method. According to the technical scheme, the method comprises: step one, a buyer and a seller split respective data sources into various data attributes according to service qualities; step two, the seller registers big data resources owned by the seller according to the data source and carries out data service publication to a data market; step three, a data exchange market matches data parameter and data exchange contracting parties; step four, after the exchange market determines data exchange participants, two sub populations of a buyer and a seller are obtained by division by using a vector evaluation genetic algorithm; step five, a fitness degree is calculated by using respective utility functions of the buyer and the seller; and step six, according to the utility functions of the buyer and the seller for bilateral multi-attribute resource exchange, a vector genetic algorithm optimized target is constructed. With the method, a data exchange prices that can be accepted by the buyer and the seller can be obtained rapidly.

Description

technical field [0001] The invention relates to the technical field of big data resource transactions, in particular to a bilateral multi-attribute big data resource value evaluation and transaction method. Background technique [0002] With the advent of the big data era, the rapid development of information technologies such as service computing, cloud computing, and the Internet of Things has provided new ideas for the development of emerging transaction models. Commodities traded are increasingly "data-based". Big data in industries such as electric power, municipal administration, transportation, meteorology, and economy are integrated with each other in various forms, including structured data, semi-structured data, and unstructured data, etc., applying data mining, machine learning, parallel computing, stream computing, etc. "Big data" technology can dig out high value-added information from data with huge volume, various types, and low value density, and has huge ec...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/06G06Q30/02G06N3/12
CPCG06Q30/0611G06N3/126G06Q30/0278G06Q30/0613
Inventor 蒋菱王旭东于建成李国栋霍现旭吴磊蒋玮孙璐王凯徐青山曾艾东
Owner STATE GRID TIANJIN ELECTRIC POWER
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com